LC-MS/MS analysis of plasma glucosylsphingosine as a biomarker for diagnosis and follow-up monitoring in Gaucher disease in the Spanish population.


Journal

Clinical chemistry and laboratory medicine
ISSN: 1437-4331
Titre abrégé: Clin Chem Lab Med
Pays: Germany
ID NLM: 9806306

Informations de publication

Date de publication:
28 04 2020
Historique:
received: 08 09 2019
accepted: 03 02 2020
pubmed: 4 3 2020
medline: 21 5 2021
entrez: 4 3 2020
Statut: ppublish

Résumé

Background Gaucher disease (GD), caused by a deficiency in acid β-glucosidase, leads to the accumulation of glucosylsphingosine (GluSph), which has been used as a powerful biomarker for the diagnosis and follow-up of GD. Our aim was to perform the first retrospective study of GluSph in Spanish patients, analyzing its relationship with classical biomarkers and other parameters of disease and its utility regarding treatment monitoring. Methods Classical biomarkers were evaluated retrospectively by standard methods in a total of 145 subjects, including 47 GD patients, carriers, healthy controls and patients suffering from other lysosomal lipidoses. GluSph was also measured using a liquid chromatography-tandem mass spectrometry (LC-MS/MS) method developed as part of the present study. Results The optimized method presented intra- and inter-assay variations of 3.1 and 11.5%, respectively, overall recovery higher than 96% and linearity up to plasma concentrations of 1000 ng/mL with 100% specificity and sensitivity. Only GD patients displayed GluSph levels above 5.4 ng/mL at diagnosis and this was significantly correlated with the classical biomarkers chitotriosidase (r = 0.560) and the chemokine CCL18/PARC (CCL18/PARC) (ρ = 0.515), as well as with the Spanish magnetic resonance imaging index (S-MRI, r = 0.364), whereas chitotriosidase correlated with liver volume (r = 0.372) and CCL18/PARC increased in patients with bone manifestations (p = 0.005). GluSph levels decreased with treatment in naïve patients. Conclusions Plasma GluSph is the most disease-specific biomarker for GD with demonstrated diagnostic value and responsiveness to therapy. GluSph in the present series of patients failed to demonstrate better correlations with clinical characteristics at onset than classical biomarkers.

Identifiants

pubmed: 32126008
doi: 10.1515/cclm-2019-0949
pii: /j/cclm.ahead-of-print/cclm-2019-0949/cclm-2019-0949.xml
doi:
pii:

Substances chimiques

Biomarkers 0
Chemokine CCL18 0
Psychosine 2238-90-6
sphingosyl beta-glucoside 52050-17-6
Hexosaminidases EC 3.2.1.-
chitotriosidase EC 3.2.1.-

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

798-809

Auteurs

Pilar Irún (P)

Centro de Investigación Biomédica en Red de Enfermedades Hepáticas y Digestivas (CIBEREHD), Instituto de Salud Carlos III (ISCIII), Zaragoza, Spain.
Instituto de Investigación Sanitaria Aragón (IIS Aragón), Zaragoza, Spain.

Jorge J Cebolla (JJ)

Instituto de Investigación Sanitaria Aragón (IIS Aragón), Zaragoza, Spain.
Departamento de Bioquímica, Biología Molecular y Celular, Facultad de Ciencias, Universidad de Zaragoza, Zaragoza, Spain.
Fundación Española para el Estudio y Terapéutica de la Enfermedad de Gaucher y otras lisosomales (FEETEG), Zaragoza, Spain.

Laura López de Frutos (L)

Instituto de Investigación Sanitaria Aragón (IIS Aragón), Zaragoza, Spain.
Fundación Española para el Estudio y Terapéutica de la Enfermedad de Gaucher y otras lisosomales (FEETEG), Zaragoza, Spain.

Isabel De Castro-Orós (I)

Departamento de Bioquímica, Biología Molecular y Celular, Facultad de Ciencias, Universidad de Zaragoza, Zaragoza, Spain.

Mercedes Roca-Espiau (M)

Fundación Española para el Estudio y Terapéutica de la Enfermedad de Gaucher y otras lisosomales (FEETEG), Zaragoza, Spain.
Centro de Diagnóstico por Imagen Dra Roca, Zaragoza, Spain.

Pilar Giraldo (P)

Instituto de Investigación Sanitaria Aragón (IIS Aragón), Zaragoza, Spain.
Fundación Española para el Estudio y Terapéutica de la Enfermedad de Gaucher y otras lisosomales (FEETEG), Zaragoza, Spain.

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Classifications MeSH